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2021 | OriginalPaper | Chapter

Lexicon-Based Sentiment Analysis

Authors : Kavleen Kour, Jaspreet Kour, Parminder Singh

Published in: Advances in Communication and Computational Technology

Publisher: Springer Nature Singapore

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Abstract

The sentiment analysis is an emerging field of natural language processing which is based on human–computer interaction, information retrieval and distilling sentiments from the ever-increasing online social data. It involves identifying the words or phrases in the underlying text express positive, negative or neutral attitude. The objective of this paper is to extract the editorial text of a leading newspaper and classify the sentiments expressed at different levels, namely paragraph level, sentence level and word level into positive, negative or neutral.

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Metadata
Title
Lexicon-Based Sentiment Analysis
Authors
Kavleen Kour
Jaspreet Kour
Parminder Singh
Copyright Year
2021
Publisher
Springer Nature Singapore
Book
Advances in Communication and Computational Technology

Print ISBN: 978-981-15-5340-0

Electronic ISBN: 978-981-15-5341-7

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-15-5341-7_108